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Update app.py
Browse files
app.py
CHANGED
@@ -39,6 +39,18 @@ def generate_response(selected_question):
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temperature=0.7,
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).choices[0].message['content'].strip()
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topics_str = "Topic analysis not available"
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# Adjusted to return a list of tuples as expected by the Chatbot component
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@@ -47,8 +59,12 @@ def generate_response(selected_question):
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except Exception as e:
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new_response = (None, f"Error generating response: {e}")
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chat_history.append(new_response)
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return chat_history
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with gr.Blocks() as demo:
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gr.Markdown(
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@@ -70,16 +86,20 @@ with gr.Blocks() as demo:
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txt = gr.Textbox(scale=4, show_label=False, placeholder="Select Question", container=False, interactive=False) # Adjust based on need
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btn = gr.Button("Submit")
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btn.click(fn=generate_response, inputs=[txt], outputs=chatbot)
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[
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chatbot.like(print_like_dislike, None, None)
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if __name__ == "__main__":
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demo.launch()
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temperature=0.7,
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).choices[0].message['content'].strip()
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follow_up_prompt = f"Based on the following response, suggest three follow-up questions: {response}"
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follow_up_response = openai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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messages=[
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{"role": "system", "content": "You are a friendly and helpful chatbot."},
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{"role": "user", "content": follow_up_prompt}
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],
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max_tokens=100,
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temperature=0.7,
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).choices[0].message['content'].strip()
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follow_up_questions = follow_up_response.split('\n')
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topics_str = "Topic analysis not available"
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# Adjusted to return a list of tuples as expected by the Chatbot component
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except Exception as e:
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new_response = (None, f"Error generating response: {e}")
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chat_history.append(new_response)
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follow_up_questions = []
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return chat_history, follow_up_questions
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def update_examples(follow_up_questions):
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return gr.Examples.update(examples=[[q] for q in follow_up_questions])
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with gr.Blocks() as demo:
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gr.Markdown(
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txt = gr.Textbox(scale=4, show_label=False, placeholder="Select Question", container=False, interactive=False) # Adjust based on need
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btn = gr.Button("Submit")
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btn.click(fn=generate_response, inputs=[txt], outputs=[chatbot, 'examples'])
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examples_component = gr.Examples(
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examples=[
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["What are the basic requirements to become an airforce pilot?"],
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["How long does it take to train as an airforce pilot?"],
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["Can you describe a day in the life of an airforce pilot?"]
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],
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inputs=[txt],
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outputs=[chatbot],
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label="Select Question"
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)
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chatbot.like(print_like_dislike, None, None)
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if __name__ == "__main__":
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demo.launch()
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